本文關(guān)鍵詞：抗干擾天線中空時(shí)自適應(yīng)算法的研究　出處：《電子科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 空時(shí)自適應(yīng) 波束形成 穩(wěn)健算法 強(qiáng)干擾

【摘要】：近年來(lái),隨著科學(xué)技術(shù)的不斷發(fā)展,自適應(yīng)陣列系統(tǒng)對(duì)于寬帶信號(hào)的處理越來(lái)越頻繁。相比于窄帶信號(hào)的處理,寬帶信號(hào)的處理更為復(fù)雜,由于寬帶信號(hào)需要占用一定的頻帶寬度,為了在整個(gè)處理帶寬內(nèi)形成一致的波束形狀,就需要更多的自由度來(lái)對(duì)波束進(jìn)行調(diào)整。對(duì)寬帶信號(hào)的處理一般分為兩種方式,一種是空時(shí)自適應(yīng)處理,它在空間域的基礎(chǔ)上增加了一個(gè)時(shí)域的處理,對(duì)來(lái)自空間不同方位的信號(hào)進(jìn)行空域和時(shí)域的聯(lián)合處理;還有一種是基于頻率的并行處理,它將入射的寬帶信號(hào)進(jìn)行傅里葉變換,在頻域上提取信號(hào)各頻點(diǎn)的數(shù)據(jù),并行的對(duì)各個(gè)頻點(diǎn)進(jìn)行單獨(dú)的處理。本文從陣列信號(hào)處理的信號(hào)模型和處理模型出發(fā),基于窄帶波束形成與寬帶波束形成結(jié)論的一致性,首先從經(jīng)典的窄帶最小方差無(wú)失真響應(yīng)算法出發(fā),對(duì)算法在信源快速抖動(dòng)的情況下的魯棒性進(jìn)行了研究。提出了一種聯(lián)合算法,該算法結(jié)合了統(tǒng)計(jì)模型零陷展寬和最壞情況下的對(duì)角加載技術(shù),在目標(biāo)定位誤差時(shí),提高波束對(duì)方位快速變化的信源的魯棒性。針對(duì)聯(lián)合算法零陷深度的不足,提出了一種能夠調(diào)節(jié)零陷深度的權(quán)值求解模型。在該模型下使用零陷展寬技術(shù),通過(guò)調(diào)整因子的控制,能夠獲得較聯(lián)合算法零陷更深的魯棒波束。最后,通過(guò)空時(shí)域聯(lián)合處理模型,將計(jì)算模型擴(kuò)展到寬帶模式。通過(guò)仿真展示了算法的相關(guān)結(jié)論,并算法間的性能比較。上述算法的性能依然依賴對(duì)目標(biāo)方向的估計(jì)值,但是,在干擾很強(qiáng)的情況下,獲得目標(biāo)方向的信息是非常困難的。為了解決目標(biāo)定位對(duì)算法性能的影響,提出了一種不需要目標(biāo)定位信息的空時(shí)自適應(yīng)算法。該算法對(duì)目標(biāo)信號(hào)的頻率失真較小,并且能夠保證無(wú)法估計(jì)目標(biāo)導(dǎo)向矢量情況下處理系統(tǒng)的性能。而且,在干擾突然增強(qiáng)時(shí),系統(tǒng)的性能也有一定的保障。通過(guò)仿真給出了算法的波束結(jié)果,并對(duì)算法間的性能進(jìn)行了分析和對(duì)比。
[Abstract]:In recent years, with the development of science and technology, the processing of wideband signal is more and more frequent in adaptive array system. Compared with narrowband signal processing, broadband signal processing is more complex. Because wideband signals need to occupy a certain bandwidth, in order to form a consistent beam shape in the whole processing bandwidth. The processing of wideband signals is generally divided into two ways, one is space-time adaptive processing, which adds a time domain processing on the basis of spatial domain. The signal from different azimuth in space is processed in spatial domain and time domain. The other is frequency based parallel processing, which carries out Fourier transform of the input wideband signal and extracts the data of each frequency point of the signal in the frequency domain. Parallel processing of each frequency point. From the array signal processing signal model and processing model, based on narrowband beamforming and wideband beamforming conclusion consistency. Firstly, based on the classical narrowband minimum variance distortionless response algorithm, the robustness of the algorithm in the case of fast source jitter is studied, and a joint algorithm is proposed. The algorithm combines the statistical model zero trapping broadening and the diagonal loading in the worst case to improve the robustness of the beam to the rapidly changing azimuth source when the target location error. This paper presents a weight solution model which can adjust the depth of zero trapping. By adjusting the factor, we can obtain a more robust beam than the joint algorithm by using the technique of zero trapping broadening. The computation model is extended to wideband mode through the joint processing model of space-time domain, and the relevant conclusions of the algorithm are demonstrated by simulation. The performance of the above algorithm still depends on the estimation of the target direction, but in the case of strong interference. It is very difficult to get the target direction information. In order to solve the impact of target location on the performance of the algorithm. This paper presents a space-time adaptive algorithm which does not need target location information. The algorithm has less frequency distortion and can guarantee the performance of the processing system under the condition of target orientation vector can not be estimated. When the interference increases suddenly, the system performance is guaranteed. The simulation results of the algorithm are given, and the performance of the algorithms is analyzed and compared.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN973

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本文編號(hào)：1393494